Haotian Geng — accepted AI-conference papers

2026

GaussianGrow: Geometry-aware Gaussian Growing from 3D Point Clouds with Text Guidance

Weiqi Zhang, Junsheng Zhou, Haotian Geng, Kanle Shi, Shenkun Xu, Yi Fang +1

CVPR 2026

3D Gaussian Splatting has demonstrated superior performance in rendering efficiency and quality, yet the generation of 3D Gaussians still remains a challenge without proper geometric priors. Existing methods have explored predicting point maps as geometric references for inferring Gaussian primitive

Cited by 0 Source ↗Scholar ↗

2025

GAP: Gaussianize Any Point Clouds with Text Guidance

Weiqi Zhang, Junsheng Zhou, Haotian Geng, Wenyuan Zhang, Yu-Shen Liu

ICCV 2025poster

3D Gaussian Splatting (3DGS) has demonstrated its advantages in achieving fast and high-quality rendering. As point clouds serve as a widely-used and easily accessible form of 3D representation, bridging the gap between point clouds and Gaussians becomes increasingly important. Recent studies have e…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗